Sr. Business Intelligence Engineer, Enterprise Intelligence (Hybrid, Bangalore)
Core
Building a governed data layer and semantic layer to enable trusted corporate metrics, executive reporting, and AI-powered data solutions for the entire organization.
Role type
Senior Business Intelligence Engineer (Analytics Engineering)
Builds
Governed metric models, automated executive scorecards, AI agent integrations, and self-serve analytics platforms.
Domain
Enterprise SaaS / Data Governance / AI Agents
Deliverable
production ML models | dashboards & analysis
Required skills
KPI design and insight generation, SQL, cloud data platforms (Snowflake/Databricks), semantic layers, dbt, BI/visualization tools, AI/LLM tooling (MCP, agentic frameworks)
Preferred skills
AI agent skills/subagents/MCP server integrations, agentic coding platforms, software engineering (Python/TypeScript), event taxonomy design, metric governance frameworks, SaaS/enterprise software experience
Technologies
dbt, MetricFlow, Snowflake, Databricks, Tableau, Amplitude, Python, JavaScript/TypeScript
Responsibilities
Design and maintain governed metric models; own automation and maintenance of corporate scorecards; conduct deep dives on key KPIs to surface actionable insights; lead metric certification and governance; build AI agent integrations for querying enterprise data; drive self-serve analytics enablement; partner cross-functionally to align metric definitions.
Seniority
Senior, hands-on IC
